diff --git a/examples/pyaudio-streaming/pyaudio-streaming-examples.ipynb b/examples/pyaudio-streaming/pyaudio-streaming-examples.ipynb index 0ee4471..b5840aa 100644 --- a/examples/pyaudio-streaming/pyaudio-streaming-examples.ipynb +++ b/examples/pyaudio-streaming/pyaudio-streaming-examples.ipynb @@ -25,7 +25,6 @@ "import torchaudio\n", "import matplotlib\n", "import matplotlib.pylab as plt\n", - "from collections import deque\n", "torchaudio.set_audio_backend(\"soundfile\")" ] }, @@ -73,13 +72,12 @@ "\n", "# Provided by Alexander Veysov\n", "def int2float(sound):\n", - " _sound = np.copy(sound) # may be not necessary\n", - " abs_max = np.abs(_sound).max()\n", - " _sound = _sound.astype('float32')\n", + " abs_max = np.abs(sound).max()\n", + " sound = sound.astype('float32')\n", " if abs_max > 0:\n", - " _sound *= 1/abs_max\n", - " _sound = _sound.squeeze() # depends on the use case\n", - " return _sound" + " sound *= 1/abs_max\n", + " sound = sound.squeeze() # depends on the use case\n", + " return sound" ] }, { @@ -113,7 +111,8 @@ "id": "0b910c99", "metadata": {}, "source": [ - "## Simple Example" + "## Simple Example\n", + "The following example reads the audio as 250ms chunks from the microphone, converts them to a Pytorch Tensor, and gets the probabilities/confidences if the model thinks the frame is voiced." ] }, { @@ -136,7 +135,7 @@ "outputs": [ { "data": { - "image/png": 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" ] @@ -161,6 +160,7 @@ " \n", " audio_chunk = stream.read(int(SAMPLE_RATE * frame_duration_ms / 1000.0))\n", " \n", + " # in case you want to save the audio later\n", " data.append(audio_chunk)\n", " \n", " audio_int16 = np.frombuffer(audio_chunk, np.int16);\n", @@ -169,9 +169,9 @@ " \n", " # get the confidences and add them to the list to plot them later\n", " vad_outs = validate(model, torch.from_numpy(audio_float32))\n", + " # only keep the confidence for the speech\n", " voiced_confidences.append(vad_outs[:,1])\n", "\n", - "# Please note the different x axes scales of the plots\n", "# plot the confidences for the speech\n", "plt.figure(figsize=(20,6))\n", "plt.plot(voiced_confidences)\n",